Mingyi Xu

1.8k total citations
56 papers, 1.3k citations indexed

About

Mingyi Xu is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Mingyi Xu has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 34 papers in Hepatology and 17 papers in Molecular Biology. Recurrent topics in Mingyi Xu's work include Liver Disease Diagnosis and Treatment (27 papers), Liver physiology and pathology (19 papers) and Hepatitis B Virus Studies (11 papers). Mingyi Xu is often cited by papers focused on Liver Disease Diagnosis and Treatment (27 papers), Liver physiology and pathology (19 papers) and Hepatitis B Virus Studies (11 papers). Mingyi Xu collaborates with scholars based in China, United States and Germany. Mingyi Xu's co-authors include Ying Qu, Qidi Zhang, Xiaobo Cai, Lungen Lu, Zhenzeng Ma, Lungen Lu, Fei Li, Shengzheng Luo, Zhenghong Li and Xiaobo Cai and has published in prestigious journals such as Gut, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Mingyi Xu

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingyi Xu China 21 627 511 410 393 163 56 1.3k
Jeongeun Hyun South Korea 22 715 1.1× 605 1.2× 481 1.2× 338 0.9× 214 1.3× 41 1.6k
Christiane Koppe Germany 12 687 1.1× 507 1.0× 336 0.8× 548 1.4× 178 1.1× 15 1.4k
Philip J. Starkey Lewis United Kingdom 13 493 0.8× 248 0.5× 288 0.7× 321 0.8× 196 1.2× 20 1.1k
Yutaka Yata Japan 16 453 0.7× 640 1.3× 755 1.8× 160 0.4× 325 2.0× 40 1.5k
E. Zamara Italy 10 331 0.5× 477 0.9× 569 1.4× 212 0.5× 275 1.7× 18 1.2k
K Breitkopf Germany 19 718 1.1× 545 1.1× 863 2.1× 213 0.5× 300 1.8× 28 1.8k
Genshu Wang China 18 669 1.1× 297 0.6× 318 0.8× 530 1.3× 332 2.0× 74 1.6k
Delia Blaya Spain 15 438 0.7× 511 1.0× 495 1.2× 189 0.5× 278 1.7× 22 1.1k
Nan You China 19 656 1.0× 172 0.3× 212 0.5× 410 1.0× 211 1.3× 61 1.3k
Kerstin Abshagen Germany 20 307 0.5× 383 0.7× 415 1.0× 113 0.3× 305 1.9× 46 1.1k

Countries citing papers authored by Mingyi Xu

Since Specialization
Citations

This map shows the geographic impact of Mingyi Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingyi Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyi Xu more than expected).

Fields of papers citing papers by Mingyi Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingyi Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingyi Xu. The network helps show where Mingyi Xu may publish in the future.

Co-authorship network of co-authors of Mingyi Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyi Xu. A scholar is included among the top collaborators of Mingyi Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingyi Xu. Mingyi Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Xu, Mingyi, Størker T. Moe, Inga Marie Aasen, & Magne Hillestad. (2025). Techno-economic analysis of CO₂-based gas fermentation for acetic acid production. Journal of CO2 Utilization. 101. 103210–103210. 1 indexed citations
3.
Wang, Suting, Mingyi Xu, Xiaojuan Lin, et al.. (2025). Detection of human noroviruses in sewage by next generation sequencing in Shandong Province, 2019–2021. Virology Journal. 22(1). 18–18. 1 indexed citations
4.
Xu, Mingyi, et al.. (2025). Mertk + Liver Sinusoidal Endothelial Cells Negatively Regulate PINK1 Related Mitophagy and Accelerate MASH. Immunity Inflammation and Disease. 13(9). e70256–e70256.
5.
Lin, Xiaojuan, Mingyi Xu, Feng Ji, et al.. (2024). Environmental Surveillance of Human Astroviruses in Jinan City of China, 2020–2021. Food and Environmental Virology. 16(1). 50–57. 1 indexed citations
6.
Wang, Kui, Jiawei Wang, Yuhua Chen, et al.. (2024). Causal relationship between gut microbiota and risk of esophageal cancer: evidence from Mendelian randomization study. Aging. 16(4). 3596–3611. 11 indexed citations
7.
Li, Huiyi, et al.. (2024). Single-cell transcriptome reveals a novel mechanism of C-Kit+-liver sinusoidal endothelial cells in NASH. Cell & Bioscience. 14(1). 31–31. 3 indexed citations
8.
Xu, Mingyi, Lei Yang, Ning Yang, et al.. (2024). Human cytomegalovirus infection impairs neural differentiation via repressing sterol regulatory element binding protein 2-mediated cholesterol biosynthesis. Cellular and Molecular Life Sciences. 81(1). 289–289. 1 indexed citations
9.
Li, Qin, et al.. (2022). CircRNA608-microRNA222-PINK1 axis regulates the mitophagy of hepatic stellate cells in NASH related fibrosis. Biochemical and Biophysical Research Communications. 610. 35–42. 28 indexed citations
10.
Luo, Xin, et al.. (2021). Hepatocyte-derived exosomal miR-27a activates hepatic stellate cells through the inhibition of PINK1-mediated mitophagy in MAFLD. Molecular Therapy — Nucleic Acids. 26. 1241–1254. 42 indexed citations
11.
Hu, Junjie, Cui Zhou, Xin Luo, et al.. (2021). Linc-SCRG1 accelerates progression of hepatocellular carcinoma as a ceRNA of miR26a to derepress SKP2. Journal of Experimental & Clinical Cancer Research. 40(1). 26–26. 11 indexed citations
12.
Wu, Xiaoning, Jialing Zhou, Yameng Sun, et al.. (2021). Health-related quality of life improves after entecavir treatment in patients with compensated HBV cirrhosis. Hepatology International. 15(6). 1318–1327. 11 indexed citations
13.
Tao, Le, Wenting Ma, Mingyi Xu, et al.. (2019). Glial cell line-derived neurotrophic factor (GDNF) mediates hepatic stellate cell activation via ALK5/Smad signalling. Gut. 68(12). 2214–2227. 43 indexed citations
14.
Wang, Yan, Yifei Wang, Rui-dan Zheng, et al.. (2018). Prediction of hepatic necroinflammatory activity in patients with chronic hepatitis B by a simple noninvasive model. Journal of Translational Medicine. 16(1). 166–166. 5 indexed citations
15.
Ying, Haiyan, et al.. (2016). Novel matrine derivative MD-1 attenuates hepatic fibrosis by inhibiting EGFR activation of hepatic stellate cells. Protein & Cell. 7(9). 662–672. 36 indexed citations
16.
Cai, Xiaobo, Feng Li, Heng Liu, et al.. (2016). Cytokeratin19 positive hepatocellular carcinoma is associated with increased peritumoral ductular reaction. Annals of Hepatology. 15(3). 386–393. 7 indexed citations
17.
Gao, Yueqiu, Wenhong Zhang, Ping Xu, et al.. (2015). [Cholestasis morbidity rate in first-hospitalized patients with chronic liver disease in Shanghai].. PubMed. 23(8). 569–73. 10 indexed citations
18.
Cai, Xiaobo, Mingyi Xu, Ying Qu, et al.. (2015). Peritumoral ductular reaction is related to nuclear translocation of β-catenin in hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 76. 11–16. 4 indexed citations
19.
Li, Fei, et al.. (2015). FOXP1 and SPINK1 reflect the risk of cirrhosis progression to HCC with HBV infection. Biomedicine & Pharmacotherapy. 72. 103–108. 16 indexed citations
20.
Xu, Mingyi, et al.. (2014). Clinical Advances in Fibrosis Progression of Chronic Hepatitis B and C. Journal of Clinical and Translational Hepatology. 2(4). 222–7. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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